Learning Preferences for Referring Expression Generation: Effects of Domain, Language and Algorithm

Abstract

One important subtask of Referring Expression Generation (REG) algorithms is to select the attributes in a definite description for a given object. In this paper, we study how much training data is required for algorithms to do this properly. We compare two REG algorithms in terms of their performance: the classic Incremental Algorithm and the more recent… (More)

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